Project description:Samples-WT Basal condition primary cortex cells; WT B27 Starved-Primary cortex cells starved overnight without B27 supplement media. WT AA Starved-Primary cortex cell starved without amino acid for 2 hours. WT AA Refed-Primary cortex cell refed for 1 hour after amino acid starvation. KO Basal-SLC38 Knockout Primary cortex cells starved overnight without B27 supplement media. KO B27 Starved-SLC38 Knockout Primary cortex cell starved without amino acid for 2 hours. KO AA starved-SLC38 Knockout Primary cortex cell refed for 1 hour after amino acid starvation. KO AA Refed-SLC38 Knockout Primary cortex cell refed for 1 hour after amino acid starvation.
Project description:In order to determine whether dis-regulation of a genetic pathway could explain the increased apoptosis of parp-2-/- double positive thymocytes, the gene expression profiles in double positive thymocytes derived from wild-type and parp-2-/- mice were analysed using Affymetrix oligonucleotide chips (mouse genome 430 2.0).
Project description:Surprisingly little is known about the critical metabolic changes that neural cells have to undergo during development and how even mild, temporary shifts in this program can influence brain circuitries and behavior. Inspired by the discovery that mutations in SLC7A5, a transporter of metabolically-essential large neutral amino acids (LNAAs), lead to autism, we employed metabolomic profiling to study the metabolic states of the cerebral cortex across different developmental stages. We found that the forebrain undergoes significant metabolic remodeling throughout development, with certain groups of metabolites showing stage-specific changes. But what are the consequences of interfering with this metabolic program? By manipulating Slc7a5 expression in neural cells, we found that the metabolism of LNAAs and lipids are interconnected in the cortex. Deletion of Slc7a5 in neurons perturbs specifically the postnatal metabolic state leading to a shift in lipid metabolism and a stage- and cell-type-specific alteration in neuronal activity patterns, resulting in a long-term circuit dysfunction.
Project description:Acid rain, as a worldwide environmental issue, can cause serious damage to plants. In this study, we provided the first case study on the systematic responses of arabidopsis (Arabidopsis thaliana (L.) Heynh.) to simulated acid rain (SiAR) by transcriptome approach. In this dataset, we include the expression data obtained from Arabidopsis with simulated acid rain treatments for 68 hr, and contrasting with control group in the same time. Totally, 439 differetal expression genes were obtained in our stduy. Form them, 13 genes which dramatically changed their expression were found related to S metabolism. 6 Total samples were analyzed. Total RNA was extracted using the RNeasy Plant Mini Kit (Qiagen). Preparation of labeled target cRNA was carried out following the technical manual of Arabidopsis Genome GeneChip array (Affymetrix). Double-stranded cDNA was synthesized from 5 M-NM-<g of template total RNA using the One-Cycle cDNA Synthesis kit (Affymetrix), and biotin labeled cRNA was synthesized using the IVT Labeling kit (Affymetrix). The labeled cRNA was purified with GeneChip Sample Cleanup Module (Affymetrix). The quality and quantity of the cRNA was checked by conducting gel electrophoresis. Twenty micrograms of the purified cRNA of each sample was fragmented and hybridized to arrays for 16 h at 45M-BM-0C. All arrays were washed and stained automatically by using a fluidics Station 450 (Affymetrix) and scanned by GeneChipM-BM-. scanner 3000 (Affymetrix). All procedures were performed according to the manufacturerM-bM-^@M-^Ys protocols (Affymetrix). Normalization and expression estimate computation were calculated from the .CEL output files from the Affymetrix GCOS 1.1 software using RMA implemented in R language using standard settings. Statistical testing for differential expression was performed with logic-t analysis. Functional categories were assigned to genes using the AGI number to search the MIPS database (http://mips.gsf.de/cgi-bin/proj/thal/) and the Arabidopsis Information Resource website, TAIR (http://www.arabidopsis.org/).